To answer the original question: yes, the curation of a dataset like this
would be hugely beneficial to the community. Look at what ImageNet has done
for computer vision. In fact, it might be good to emulate ImageNet further
and pre-split the dataset into a publicly-available training set, and a
hidden testing set, for truly objective comparisons between move-prediction

If you undertake this, many thanks in advance!

On Fri, Nov 13, 2015 at 1:20 PM, Dave Dyer <> wrote:

> I was recently working on assigning final scores to completed games, using
> the large data set from
> My observation is that the size of the data set (50,000 games) is not
> large enough to get good coverage of unusual situations occurring in real
> games.
> There's a definite need for a curated collection of atypical but
> interesting games, probably manipulated to explore the boundaries
> between interesting and normal.
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